http://mathesaurus.sourceforge.net/octave-r.html
| R (or S-Plus) | MATLAB (or Octave) | Description |
|---|---|---|
a <- -2.1; b <- 3 |
a=-2.1; b=3; |
Assignment; defining a number |
a^b\(=-9.261\) |
a .^ b |
Power, \(a^b\) |
a != b\(=TRUE\) |
a ~= b |
Not Equal |
!a\(=FALSE\) |
~a or not(a) |
Logical NOT |
1i |
1i or 1j |
Imaginary unit |
abs(3+4i) or Mod(3+4i)\(=5\) |
abs(z) |
Absolute value (modulus) |
Re(3+4i)\(=3\) |
real(z) |
Real part |
Im(3+4i)\(=4\) |
imag(z) |
Imaginary part |
Arg(3+4i)\(=0.9272952\) |
arg(z) |
Argument (radians) |
Conj(3+4i)\(=3-4i\) |
conj(z) |
Complex conjugate |
runif(10) |
rand(1,10) |
Uniform distribution |
runif(10, min=2, max=7) |
2+5*rand(1,10) |
Uniform: Numbers between 2 and 7 |
rnorm(10) |
randn(1,10) |
Normal distribution |
a <- c(2, 3, 4, 5) |
a=[2, 3, 4, 5]; |
Row vector, \(1\times n\)-matrix |
adash <- t(c(2, 3, 4, 5)) |
adash=[2, 3, 4, 5]'; |
Column vector, \(m\times 1\)-matrix |
seq(10) or 1:10 |
1:10 |
\(1,2,3,\dots,10\) |
seq(0, length=10) |
0:9 |
\(0,1,2,\dots,9\) |
seq(1,10, by=3) |
1:3:10 |
1, 4, 7, 10 |
seq(10,1) or 10:1 |
10:-1:1 |
\(10,9,8,\dots,1\) |
seq(from=10, to=1, by=-3) |
10:-3:1 |
10, 7, 4, 1 |
seq(1,10, length=7) |
linspace(1,10,7) |
Linearly-spaced vector of \(n=7\) points: 1, 2.5, 4, 5.5, 7, 8.5, 10 |
c(a,a)\(=2, 3, 4, 5, 2, 3, 4, 5\) |
[a a] |
Concatenate two vectors, end-to-end |
c(1:4,a) \(=1, 2, 3, 4, 2, 3, 4, 5\) |
[1:4 a] |
|
rep(a, times=2) |
[a a] |
\(2, 3, 4, 5, 2, 3, 4, 5\) |
rep(a, each=3) |
\(2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5\) | |
rep(a,a) |
\(2, 2, 3, 3, 3, 4, 4, 4, 4, 5, 5, 5, 5, 5\) | |
a[-1] \(=3, 4, 5\) |
a(2:end) |
miss the first element |
a[-10] |
a([1:9]) |
miss the tenth-element (of ten) |
a[-seq(1,50,3)] \(=3, 4\) |
miss \(1,4,7,\dots\) | |
a[length(a)] \(=5\) |
a(end) |
last element |
a[(length(a)-1):length(a)] \(=4, 5\) |
a(end-1:end) |
last two elements |
pmax(a,b) |
max(a,b) |
pair-wise max |
max(c(a,b)) |
max([a b]) |
max of all values in two vectors |
v <- max(a) \(=5\) ; i <- which.max(a) \(=4\) |
[v,i] = max(a) |
|
a*a \(=4, 9, 16, 25\) |
a.*a |
Multiply two vectors (element-wise) \(a^2\) |
u %*% v |
dot(u,v) |
Vector dot-product, \(u\bullet v\) |
rbind(c(2,3), c(4,5)) or array(c(2,3,4,5), dim=c(2,2) ) |
a = [2 3; 4 5] |
Define a matrix |
rbind(a,b) |
[a ; b] |
Bind rows |
ab <- cbind(a,b) |
[a , b] |
Bind columns |
rbind(1:4, 1:4) |
[1:4 ; 1:4] |
Bind rows (from two vectors) |
cbind(1:4,1:4) |
[1:4 ; 1:4]' |
Bind columns (from two vectors) |
matrix(data=0,nrow=3,ncol=5) or array(0,c(3,5)) |
zeros(3,5) |
\(0\)-filled array |
matrix(1,3,5) or array(1,c(3,5)) |
ones(3,5) |
\(1\)-filled array |
as.vector(t(a)) \(=2, 3, 4, 5\) |
a'(:) |
Flatten to vector (by rows, like comics) |
as.vector(a) |
a(:) |
Flatten to vector (by columns) |
a <- rbind( c(11, 12, 13, 14), c(21, 22, 23, 24), c(31, 32, 33, 34) ) |
a= [ 11 12 13 14 ; 21 22 23 24 ; 31 32 33 34 ] |
Input is a \(3\times4\) array |
a[2,3] \(=23\) |
a(2,3) |
Single-Element \(2,3\) (row=2,col=3) |
a[1,] \(=11, 12, 13, 14\) |
a(1,:) |
First row |
a[,1] \(=11, 21, 31\) |
a(:,1) |
First column |
a[-1,] \(=21, 31, 22, 32, 23, 33, 24, 34\) |
a(2:end,:) |
All, except first row |
a[(nrow(a)-1):nrow(a),] \(=21, 31, 22, 32, 23, 33, 24, 34\) |
a(end-1:end,:) |
Last two rows |
a[(ncol(a)-1):ncol(a),] \(=13, 23, 33, 14, 24, 34\) |
a(:,end-1:end) |
Last two columns |
a[,seq(1,ncol(a),by=2)] \(=11, 21, 31, 13, 23, 33\) |
a(:,1:2:end) |
Strides: Every other column |
a[-2,-3] \(=11, 31, 12, 32, 14, 34\) |
All, except 2nd-row, and 3rd-column | |
a[,-2] \(=11, 21, 31, 13, 23, 33, 14, 24, 34\) |
a(:,[1 3 4]) |
Remove 2nd column |
a[,1] <- 99 |
a(:,1) = 99 |
|
a[,1] <- c(99,98,97) |
a(:,1) = [99 98 97]' |
|
a[a>90] <- 90 |
a(a>90) = 90; |
Clipping: Replace all elements over 90 |
t(a) |
a' |
Transpose |
a=matrix( c(3,4,2, 2,8,6, 1,4,7), nrow=3, byrow=TRUE) |
a=[3, 4, 2 ; 2, 8, 6 ; 1, 4, 7] |
(example data for sorting) |
t(sort(a)) \(=1, 2, 2, 3, 4, 4, 6, 7, 8\) |
sort(a(:)) |
Flattened and sorted |
apply(a,2,sort) \(=1, 2, 3, 4, 4, 8, 2, 6, 7\) |
sort(a) |
Sort each column |
t( apply(a,1,sort) ) \(=2, 2, 1, 3, 6, 4, 4, 8, 7\) |
sort(a')' |
Sort each row |
sortrows(a,1) |
Sort rows (by first row) | |
order(a)\(=3, 2, 7, 1, 4, 6, 8, 9, 5\) |
Sort, return indices | |
apply(a,2,max) \(=3, 8, 7\) |
max(a) |
max in each column |
apply(a,1,max) \(=4, 8, 7\) |
max(a') |
max in each row |
max(a) \(=8\) |
max(max(a)) |
overall max throughout entire array |
i <- apply(a,1, which.max) \(=2, 2, 3\) |
[v i] = max(a) |
return row-indices, i, of which row holds the max value of that column |
pmax(b,c) |
max(b,c) |
pair-wise max |
apply(a,2, cummax) \(=3, 3, 3, 4, 8, 8, 2, 6, 7\) |
cummax(a) |
cumulative max |
a[,3:1] \(=2, 6, 7, 4, 8, 4, 3, 2, 1\) |
fliplr(a) |
Flip left-right |
a[3:1,] \(=1, 2, 3, 4, 8, 4, 7, 6, 2\) |
flipud(a) |
Flip up-down |
dim(a) \(=3, 3\) |
size(a) |
Matrix dimensions |
ncol(a) \(=3\) |
size(a,2) or length(a) |
Number of columns |
prod(dim(a)) \(=9\) |
length(a(:)) |
Number of elements |
ndims(a) |
Number of dimensions | |
a * b |
a .* b |
Element-wise operations |
a %*% b |
a * b |
Matrix product (or vector dot-product) |
outer(a,b) or a %o% b |
Outer product | |
which(a != 2) \(=1, 3, 4, 5, 6, 8, 9\) |
find(a) |
Not-equal-to-2 elements, indices |
which(a != 2, arr.ind=TRUE) \(=1, 3, 1, 2, 3, 2, 3, 1, 1, 2, 2, 2, 3, 3\) |
[i j] = find(a) |
Not-equal-to-2 elements, array indices |
ij <- which(a != 2, arr.ind=TRUE); v <- a[ij] |
[i j v] = find(a) |
Vector of not-equal-to-2 values |
which(a>5.5) \(=5, 8, 9\) |
find(a>5.5) |
Condition, indices |
ij <- which(a>5.5, arr.ind=TRUE); v <- a[ij] \(=8, 6, 7\) |
Return the values | |
a .* (a>5.5) |
Only keep those elements above \(5.5\), else zeroize | |
a= cat(3, [1 2; 1 2], [3 4; 3 4]); |
Define a 3-way array | |
a(1,:,:) |
||
f <- read.table( "data.txt") |
f = load('data.txt') |
Reading from a file (2d) |
plot(a, type="l") |
plot(a) |
1-dimensional (line) plot |
plot(x[,1],x[,2]) |
plot(x(:,1),x(:,2),'o') |
2-dimensional scatter-plot |
plot(x1,y1); lines(x2,y2) |
plot(x1,y1); hold on; plot(x2,y2) |
Overplotting: Add new plots onto current |
par(mfrow=c(2,1)) |
subplot(211) |
subplots |
plot(x,y, type="b", col="red") |
plot(x,y,'ro-') |
Plotting symbols and color |
plot(c(1:10,10:1), asp=1) |
axis equal |
1:1 aspect-ratio |
plot(x,y, xlim=c(0,10), ylim=c(0,5)) |
axis([ 0 10 0 5 ]) |
Set axes-limits manually |
plot(1:10, main= "title", xlab= "x-axis", ylab= "y-axis") |
title('title'); xlabel('x-axis'); ylabel('y-axis') |
Axis labels and titles |
grid() |
grid on |
Turn on grid lines |
plot(x,y, log="y") |
semilogy(a) |
logarithmic y-axis |
plot(x,y, log="x") |
semilogx(a) |
logarithmic x-axis |
plot(x,y, log="xy") |
loglog(a) |
logarithmic x and y axes |
f <- function(x) sin(x/3) - cos(x/5) |
f= inline( 'sin(x/3) - cos(x/5)') |
Defining functions |
plot(f, xlim=c(0,40), type='p') |
ezplot(f,[0,40]); fplot( 'sin(x/3) - cos(x/5)', [0,40]) |
Plot a function for given range |
theta= 0:0.001:2*pi; r= sin(2*theta); |
||
polar(theta, rho) |
||
hist(rnorm(1000)) |
hist(randn(1000,1)) |
|
hist(rnorm(1000), breaks= -4:4) |
hist(randn(1000,1), -4:4) |
|
hist(rnorm(1000), breaks=c(seq(-5,0,0.25), seq(0.5,5,0.5)), freq=FALSE) |
||
plot( apply(a,1,sort), type="l") |
plot(sort(a)) |
|
contour(z) |
contour(z) |
Contour plot |
filled.contour(x,y,z, nlevels=7, color= gray.colors) |
contourf(z); colormap(gray) |
Filled contour plot |
image(z, col= gray.colors(256)) |
image(z); colormap(gray) |
Plot image data |
quiver() |
Direction-field vectors | |
f <- function(x,y) x*exp(-x^2-y^2); n <- seq(-2,2, length=40); z <- outer(n,n,f) |
n=-2:.1:2; [x,y]= meshgrid(n,n); z=x.*exp(-x.^2-y.^2); |
|
persp(x,y,z, theta=30, phi=30, expand=0.6, ticktype= 'detailed') |
mesh(z) |
Mesh plot |
persp(x,y,z, theta=30, phi=30, expand=0.6, col= 'lightblue', shade=0.75, ltheta=120, ticktype= 'detailed') |
surf(x,y,z) or surfl(x,y,z) |
Surface plot |
lattice::cloud(z~x*y) |
plot3(x,y,z,'k+') |
3d scatter plot |
postscript( file= "foo.eps"); plot(1:10); dev.off() |
plot(1:10); print -depsc2 foo.eps |
PostScript |
pdf(file= 'foo.pdf') |
||
svg(file= 'foo.svg') |
SVG (vector graphics for www) | |
png(filename= "Rplot.png") |
print -dpng foo.png |
PNG (raster-graphics) |
a <- c(1, 2, 2, 5, 2); b <- c(2, 3, 4) |
a= [ 1, 2, 2, 5, 2 ]; b= [ 2, 3, 4 ]; |
Create sets |
unique(a) \(=1, 2, 5\) |
unique(a) |
Set unique |
union(a,b) \(=1, 2, 5, 3, 4\) |
union(a,b) |
Set union |
intersect(a,b) \(=2\) |
intersect(a,b) |
Set intersection |
setdiff(a,b) \(=1, 5\) |
setdiff(a,b) |
Set difference |
setdiff( union(a,b), intersect(a,b) ) \(=1, 5, 3, 4\) |
setxor(a,b) |
Set exclusion |
a=matrix( c(3,4,2, 2,8,6, 1,4,7), nrow=3, byrow=TRUE) |
a=[3, 4, 2 ; 2, 8, 6 ; 1, 4, 7] |
(example data for following) |
is.element(2,a) or 2 %in% a \(=TRUE\) |
ismember(2,a) |
True for set-membership |
apply(a,2, mean) \(=2, 5.3333333, 5\) |
mean(a) |
Average (column-wise) |
apply(a,2, median) \(=2, 4, 6\) |
median(a) |
Median (column-wise) |
apply(a,2, sd) \(=1, 2.3094011, 2.6457513\) |
std(a) |
Standard deviation (column-wise) |
apply(a,2, var) \(=1, 5.3333333, 7\) |
var(a) |
Variance (column-wise) |
z <- lm(y~x); plot(x,y); abline(z) |
z= polyval( polyfit(x,y,1), x); plot(x,y, 'o', x,z ,'-') |
Straight-line fit |
polyroot(c(1,-1,-1)) |
roots([1 -1 -1]) |
Find zeros of polynomial |
fft(a) |
fft(a) |
Fast fourier transform |
fft(a, inverse=TRUE) |
ifft(a) |
Inverse fourier transform |
# comment here |
% comment here |
Comment-symbol (ignore rest-of-line) |
library(graphics) |
% must be in MATLABPATH |
Import library functions |
print(a) |
disp(a) |
|
for(i in 1:5) print(i) |
for i=1:5; disp(i); end |
for-statement |
for(i in 1:5) {print(i); print(i*2)} |
for i=1:5, disp(i); disp(i*2); end |
Multi-line for statements |
if (1>0) a <- 100 |
if 1>0 a=100; end |
if-statement |
if (1>0) a <- 100 else a <- 0 |
if 1>0 a=100; else a=0; end |
if-else statement |
| R (or S-Plus) | MATLAB (or Octave) | Description |
|---|---|---|
help.start() |
doc |
Browse help interactively |
help() |
help help or doc doc |
Help on using help |
help(plot) or ?plot |
help plot |
Help for a function |
help(package= 'splines') |
help splines or doc splines |
Help for a toolbox/ library package |
demo() |
demo |
Demonstration examples |
example(plot) |
Example using a function | |
help.search('plot') |
lookfor plot |
Search help files |
apropos('plot') |
Find objects by partial name | |
library() |
help |
List available packages |
find("plot") |
which plot |
Locate functions |
methods(plot) |
List available methods for a function | |
source('foo.R') |
foo (or foo.m) |
Run code from file |
history() |
history |
Command history |
savehistory( file= ".Rhistory") |
diary on [… some more code …] diary off |
Save command history |
q(save= 'no') |
exit or quit |
End session |
help(Syntax) |
help - |
Help on operator syntax |
a %% b \(=1, 2, 1, 0, 2, 0, 0, 0, 3\) |
rem(a,b) |
Remainder |
a %/% b \(=1, 0, 0, 2, 2, 1, 1, 2, 1\) |
Integer division | |
factorial(b+1)\(=6, 24, 120\) |
factorial(b+1) |
Factorial, \(n!\) |
a & b \(=T, T, T, T, T, T, T, T, T\) |
a & b or and(a,b) |
Element-wise logical AND of two vectors/ matrices |
a | b \(=T, T, T, T, T, T, T, T, T\) |
a | b or or(a,b) |
Element-wise logical OR of two vectors/ matrices |
a && b \(=TRUE\) |
a && b |
Logical AND of two logical-values (short-circuiting) |
a || b \(=TRUE\) |
a || b |
Logical OR of two logical-values (short-circuiting) |
any(a) \(=TRUE\) |
any(a) |
True if some/any of the elements are non-zero |
all(a)\(=TRUE\) |
all(a) |
True if all of the elements are non-zero |
round(a)\(=3, 2, 1, 4, 8, 4, 2, 6, 7\) |
round(a) |
Round (for R: IEC60559 = nearest even) |
ceiling(a)\(=3, 2, 1, 4, 8, 4, 2, 6, 7\) |
ceil(a) |
Round up |
floor(a)\(=3, 2, 1, 4, 8, 4, 2, 6, 7\) |
floor(a) |
Round down |
as.integer(a) |
fix(a) |
Round towards zero |
z <- 3+4i |
z= 3+4i |
A complex number, \(3+4\imath\) |
atan2(b,a) |
atan(a,b) |
Arctangent, \(\arctan(\frac{b}{a})\) |
matrix(runif(36),6) |
rand(6) |
Uniform \(6\times 6\) array |
rev(a)\(=7, 6, 2, 4, 8, 4, 1, 2, 3\) |
reverse(a) |
Reverse |
a[] <- 3 |
a(:)= 3 |
Set all values to same scalar-value |
matrix(9,3,5) or array(9,c(3,5)) |
ones(3,5)*9 |
Any number-filled array |
diag(1,3) |
eye(3) |
Identity matrix |
diag(c(4,5,6)) |
diag([4 5 6]) |
Diagonal |
magic(3) |
Magic squares; Lo Shu | |
a <- matrix(1:6, nrow=3, byrow=TRUE) |
reshape(1:6,3,2)'; |
Reshaping (rows first) |
matrix(1:6, nrow=2) or array(1:6,c(2,3)) |
reshape(1:6,2,3); |
Reshaping (columns first) |
a[row(a) <= col(a)] |
vech(a) |
Flatten upper triangle (by columns) |
a([1 3],[1 4]); |
Array as indices | |
a.' or transpose(a) |
Non-conjugate transpose | |
det(a) |
det(a) |
Determinant |
solve(a) |
inv(a) |
Inverse |
pracma::pinv or MASS::ginv |
pinv(a) |
Pseudo-inverse |
norm(a) |
Norms | |
eigen(a )$values |
eig(a) |
Eigenvalues |
eigen( rbind(a, a[,1]) )$values |
eig(a) |
Eigenvalues |
svd(a)$d |
svd(a) |
Singular values |
chol(a) |
Cholesky factorization | |
eigen(a)$vectors |
[v,l] = eig(a) |
Eigenvectors |
eigen( rbind(a, a[,1]) )$vectors |
[v,l] = eig(a) |
Eigenvectors |
rank(a) |
rank(a) |
Rank |
apply(a,2,sum) |
sum(a) |
Sum of each column |
apply(a,1,sum) |
sum(a') |
Sum of each row |
sum(a) |
sum(sum(a)) |
Sum of all elements |
apply(a,2, cumsum) |
cumsum(a) |
Cumulative sum (columns) |
rot90(a) |
Rotate 90 degrees | |
kronecker( matrix(1,2,3), a) |
repmat(a,2,3) |
Repeat matrix: \(\left[\begin{matrix} a & a & a \cr a & a & a\end{matrix} \right]\) |
a[lower.tri(a)] <- 0 |
triu(a) |
Triangular, upper |
a[upper.tri(a)] <- 0 |
tril(a) |
Triangular, lower |
[a(:), b(:)] |
Concatenate multi-dimensional matrices into one long vector | |
object.size(a) \(=328\) |
Number of bytes used in memory | |
crossprod(a,b) or t(a) %*% b |
Cross product | |
kronecker(a,b) |
kron(a,b) |
Kronecker product |
a / b |
Matrix division, \(b{\cdot}a^{-1}\) | |
solve(a,b) |
a \ b |
Left matrix division, \(b^{-1}\cdot a\) (solve linear equations) |
f <- read.table( file= "data.csv", sep=";") |
x = dlmread( 'data.csv', ';') |
Reading fram a CSV file (2d) |
write( f, file="data.txt") |
save -ascii data.txt f |
Writing to a file (2d) |
plot(t,s, type="n", xlab="", ylab=""); polygon(t,s, col= "lightblue"); polygon(t,c, col= "lightgreen") |
fill(t,s,'b', t,c,'g') % fill has a bug? |
Filled plot |
stem(x[,3]) |
Stem-and-Leaf plot | |
plot(x1,y1, x2,y2) |
Two graphs in one plot | |
.Last.value |
ans |
Most recent evaluated expression |
objects() |
whos or who |
List variables loaded into memory |
rm(x) |
clear x or clear all |
Clear variable \(x\) from memory |
ifelse(a>0,a,0) |
Ternary operator (if?True:False) | |
list.files() or dir() |
dir or ls |
List files in directory |
list.files( pattern=".r") |
what |
List script files in directory |
getwd() |
pwd |
Displays the current working directory |
setwd('foo') |
cd foo |
Change working directory |
system("notepad") |
!notepad |
Invoke a System Command |
cor(x,y) |
corr(x,y) |
Correlation coefficient |
cov(x,y) |
cov(x,y) |
Covariance |
solve(a,b) |
a= x\y |
Linear least-squares \(y=ax+b\) |
polyfit(x,y,3) |
Polynomial fit | |
f= inline( '1/x - (x-1)'); fzero(f,1) |
Find a zero near \(x=1\) | |
(see packages Ryacas, rSymPy) |
solve('1/x = x-1') |
Solve symbolic-equations |
polyval([1 2 1 2], 1:10) |
Evaluate polynomial | |
diff(a) |
Discrete difference function and approximate derivative | |
factor() |
Factorization | |
.R |
.m |
Script file extension |
string <- "a <- 234"; eval(parse(text=string)) |
string='a=234'; eval(string) |
Eval |
Time-stamp: “2007-11-09T16:46:36 vidar” ©2006 Vidar Bronken Gundersen, /mathesaurus.sf.net
shinyFigure: RMarkdown – Cheat-Sheet (https://www.rstudio.com/wp-content/uploads/2016/03/rmarkdown-cheatsheet-2.0.pdf)
Figure: Interactive Web-Apps with `shiny’ – Cheat-Sheet (https://www.rstudio.com/wp-content/uploads/2016/01/shiny-cheatsheet.pdf)
Over 30 CRAN task-views allow one to browse the many packages by specialized topic:
| Task-view | Description |
|---|---|
| Bayesian | Bayesian Inference |
| ChemPhys | Chemometrics and Computational Physics |
| ClinicalTrials | Clinical Trial Design, Monitoring, and Analysis |
| Cluster | Cluster Analysis & Finite Mixture Models |
| DifferentialEquations | Differential Equations |
| Distributions | Probability Distributions |
| Econometrics | Econometrics |
| Environmetrics | Analysis of Ecological and Environmental Data |
| ExperimentalDesign | Design of Experiments (DoE) & Analysis of Experimental Data |
| ExtremeValue | Extreme Value Analysis |
| Finance | Empirical Finance |
| Genetics | Statistical Genetics |
| Graphics | Graphic Displays & Dynamic Graphics & Graphic Devices & Visualization |
| HighPerformanceComputing | High-Performance and Parallel Computing with R |
| MachineLearning | Machine Learning & Statistical Learning |
| MedicalImaging | Medical Image Analysis |
| MetaAnalysis | Meta-Analysis |
| Multivariate | Multivariate Statistics |
| NaturalLanguageProcessing | Natural Language Processing |
| NumericalMathematics | Numerical Mathematics |
| OfficialStatistics | Official Statistics & Survey Methodology |
| Optimization | Optimization and Mathematical Programming |
| Pharmacokinetics | Analysis of Pharmacokinetic Data |
| Phylogenetics | Phylogenetics, Especially Comparative Methods |
| Psychometrics | Psychometric Models and Methods |
| ReproducibleResearch | Reproducible Research |
| Robust | Robust Statistical Methods |
| SocialSciences | Statistics for the Social Sciences |
| Spatial | Analysis of Spatial Data |
| SpatioTemporal | Handling and Analyzing Spatio-Temporal Data |
| Survival | Survival Analysis |
| TimeSeries | Time Series Analysis |
| WebTechnologies | Web Technologies and Services |
| gR | gRaphical Models in R |
PeZdemoR demo, some other R-packages that would be useful include:
fftwtools, fftw, wavethresh, wmtsa, waveslim, wavelets, waved, dtt, seewave, monitoR, phontools, warbleR, ripa, imager, EBImage, magick, Ryacas, rSymPy, … moreknitr engine [@Yihui2016]pandoc utility [@website:pandoc1]RMarkdown [@pkgrmarkdown] formatSlidy presentation.PeZdemoR source-code is available on GitHub, https://github.com/popeye00/inSPiRe
RStudio applicationshiny Packageshiny-generated application is based upon the default Bootstrap theme
shiny-application with any web content, using HTML, CSS, and JavaScript libraries, like jQuery.js (and many others)
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